Data Engineer

v4c.ai

Data Engineer focusing on large-scale data systems and ETL processes. Working with cross-functional teams on big data projects and transitioning into Databricks & AI/ML.

Posted 7/23/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining large-scale data systems, with strong proficiency in Python, SQL, ETL processes, and data modeling. Capable of developing scalable data pipelines and collaborating with cross-functional teams to implement effective data solutions.

Highest-signal resume keywords

Data Engineering ExperiencePython ProficiencyETL DevelopmentBig Data Tools (Hadoop, Spark, PySpark)Cloud Knowledge (AWS, Azure, GCP)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonSQLETLData ModelingHadoopSparkPySparkKafkaTeradataInformatica

Soft Skills

CollaborationAdaptability

Tools & Technologies

DatabricksAI/MLSnowflakeADF

Industry Keywords

Big DataData PipelinesData SystemsData Optimization

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformHadoopInformaticaKafkaPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain large-scale data systems
Develop and implement ETL processes using various tools and technologies
Collaborate with cross-functional teams to design and implement data models
Work with big data tools like Hadoop, Spark, PySpark, and Kafka
Develop scalable and efficient data pipelines
Troubleshoot data-related issues and optimize data systems
Transition and upskill into Databricks & AI/ML projects

Requirements

What you’ll need

Relevant years of experience in data engineering
Strong proficiency in Python, SQL, ETL, and data modeling
Experience with one or more of the following:
○ Teradata
○ Informatica
○ Hadoop
○ Spark
○ PySpark
○ ADF
○ Snowflake
○ Big Data
○ Scala
○ Kafka
Cloud knowledge (AWS, Azure, or GCP) is a plus
Willingness to learn and adapt to new technologies, specifically Databricks & AI/ML

Benefits

Comp & perks

Competitive salary and benefits
Opportunity to work on cutting-edge projects
Collaborative and dynamic work environment
Professional growth and development opportunities
Remote work opportunities & flexible hours